Shypd.aiThe largest open index of AI toolsSentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction is an open-source tool that uses natural language processing to predict stock price movement. It analyzes news headlines to determine market sentiment and forecast stock changes.
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Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction is an open-source project designed to predict stock price movements using natural language processing (NLP) on news headlines. Specifically, it leverages Reuters news data to build a connection between Bayesian Deep Neural Networks (DNN) and stock price prediction. The methodology involves collecting and preprocessing data, including crawling ticker lists, news from Reuters, and stock prices. It then performs feature engineering through tokenization, unifying word formats, and implementing one-hot encoding. The tool trains Bayesian Convolutional Neural Networks using Stochastic Gradient Langevin Dynamics for robust predictions, which can then be used to forecast stock reactions to news events. It provides scripts for data collection, tokenization, model training, and prediction, making it a comprehensive solution for event-driven stock analysis.
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